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The role of aerial algae in the formation of the landscape of the Yunnan Stone Forest,Yunnan Province, china

Science china Earth sciences 2004年第9期47卷 846-864页

作者： tian youping1,3. ZHANG Jie2, SONG linhua1 & bao {3. institute of geographic sciences and natural resources Research, chinese academy of sciences, beijing 100101, china 2. department of geography, {12. University,{{13. 3. School of Earth sciences and resources, china University of Geosciences, beijing 100083. china institute of geographic {2. and {3. resources Research Chinese Academy of Sciences Beijing China School of Earth sciences and resources China University of Geosciences Beijing China department of geography Nanjing University Nanjing China

Aerial algae on the surface of carbonate rocks at the Stone Forest, Shilin County, Yunnan Province, china, and their bioerosion were investigated in the field and studied in the laboratory in detail. Through the observation, identification and statistics of more than one hun- dred algal samples and rock samples with the optical microscopes (stereomicroscope, biological microscope) and the scanning electronic microscope (SEM), the relationships between erosional forms on the surface of the Stone Forest and algae and/or algal communities and the genetic mechanism for the formation of erosional forms were analyzed. It is suggested that aerial algae play an active role in bioerosive processes that may affect the formation of karst erosional forms. These effects include both direct and indirect ones. The direct effect is the initiative control (algal shape-controlling role) of algae on the formation of karst forms of various scales, mostly mi- cro-scale (3.) and minor-scale (10-3.10-1m) erosional forms. The algal shape-controlling roles can be divided into the algal individual shape-controlling role and the algal community shape-controlling role. The former mostly controls the formation of micro-scale erosional forms, while the latter mostly controls the formation of micro-scale and smaller minor-scale erosional forms. The indirect effect refers to the promoting role of algae in the formation of karst forms, which may affect the formation of karst forms of all types and scales. The bioerosion of algae accelerates the weathering process of the whole Stone Forest karst landforms.

关键词： aerial algae, bioerosion, the Stone Forest, Yunnan Province, china.

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植物螯合肽及其在抗重金属胁迫中的作用

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生态学报 2003年第10期23卷 2125-2132页

作者：蔡保松雷梅陈同斌张国平陈阳浙江大学农业与生物技术学院浙江杭州310029 中国科学院地理科学与资源研究所环境修复室北京100101

植物螯合肽 (PCs)广泛存在于植物体中 ,与植物抗重金属胁迫关系密切。植物螯合肽及其复合物是一类富含半胱氨酸的低分子量化合物。现有研究证明 ,PCs由谷胱甘肽 (GSH)为底物的酶促反应合成 ,其合成受相关基因的调控 ,从模式植物拟南芥... 详细信息

植物螯合肽 (PCs)广泛存在于植物体中 ,与植物抗重金属胁迫关系密切。植物螯合肽及其复合物是一类富含半胱氨酸的低分子量化合物。现有研究证明 ,PCs由谷胱甘肽 (GSH)为底物的酶促反应合成 ,其合成受相关基因的调控 ,从模式植物拟南芥的突变体中已分离到与 PCs合成有关的几个基因。植物螯合肽首先与重金属离子结合形成低分子量 (LMW)复合物 ,以此形态经由细胞质进入液泡后 ,再与一个分子的植物螯合肽结合 ,形成对植物组织毒性较小的高分子量 (HMW)复合物 ,从而达到缓解重金属对植物的危害作用。就植物螯合肽及其复合物的结构、生物合成、基因调控及重金属解毒机理等进行了综述。

关键词：植物螯合肽重金属植物毒性抗性

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First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data

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Science china Earth sciences 2024年第10期67卷 3252-3269页

作者： Weiwei SUN Gang YANG Yuling HUANG Dehua MAO Ke HUANG Lin ZHU Xiangchao MENG tian FENG Chao CHEN Yong GE department of geography and Spatial Information Techniques Ningbo UniversityNingbo 315211China State Key Laboratory of resources and Environmental Information System Institute of Geographic Sciences&Natural Resources ResearchChinese Academy of SciencesBeijing 100101China natural resources and Planning Bureau Shanghai Pudong New DistrictShanghai 200100China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China School of geography Science and Geomatics Engineering Suzhou University of Science and TechnologySuzhou 215009China

Wetland degradation has been accelerating in recent years globally. Accurate information on the geographic distribution and categories of wetlands is essential for their conservation and management. Despite being the world′s fourth largest continent, South America has limited research on wetland mapping, and there is currently no available map that provides comprehensive information on wetland distribution and categories in the region. To address this issue, we used Sentinel-1, Sentinel-2.and SRTM data, developed a sample collection method and a wetland mapping method with a collection of multi-source features such as optical features, polarization features and shape features for South American wetlands. We produced a 10-m resolution wetland map based on the Google Earth Engine(GEE) platform. Our Level-1 wetland cover map accurately captured six wetland sub-categories with an overall accuracy of 96.2.% and a kappa coefficient of 0.8649, while our Level-2.water cover map included five sub-categories with an overall accuracy of 97.2.1} and a kappa coefficient of0.93.8. The results show that the total area of existing wetlands in South America is approximately 1,73.,000 km~2. which is6.8% of the total land area. Among the ten wetland categories, shallow sea had the largest area(960,52..4 km~2., while aquaculture ponds had the smallest area 1513.6 km~2. Swamp had the second largest area(3.6,2.0.1 km~2.. Brazil, Argentina,Venezuela, Bolivia, and Colombia were found to have the largest wetland areas, with Brazil and Colombia having the most diverse wetland categories. This product can serve as baseline data for subsequent monitoring, management, and conservation of South American wetlands.

关键词： Wetland mapping Google Earth Engine Sentinel imagery South America

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Climate change drives flooding risk increases in the Yellow River Basin

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geography and Sustainability 2024年第2期5卷 193-199页

作者： Hengxing Lan Zheng Zhao Langping Li Junhua Li Bojie Fu Naiman tian Ruixun Lai Sha Zhou Yanbo Zhu Fanyu Zhang Jianbing Peng John J.Clague State Key Laboratory of resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China School of Geological Engineering and Geomatics Chang’an UniversityXi’an 710064China University of chinese academy of sciences Beijing 10049China Yellow River institute of Hydraulic Research Yellow River Conservancy CommissionZhengzhou 450003China State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China State Key Laboratory of Earth Surface Processes and resources Ecology Beijing Normal UniversityBeijing 100875China Key Laboratory of Mechanics on Disaster and Environment in Western china The Ministry of Education of ChinaSchool of Civil Engineering and MechanicsLanzhou UniversityLanzhou 730000China department of Earth sciences Simon Fraser UniversityBurnabyCanada

The Yellow River Basin(YRB)has experienced severe floods and continuous riverbed elevation throughout *** climate change has been suggested to be driving a worldwide increase in flooding ***,owing to insufficient evidence,the quantitative correlation between flooding and climate change remains *** present a long time series of maximum flood discharge in the YRB dating back to 1843.compiled from historical documents and instrument *** in yearly maximum flood discharge show distinct periods:a dramatic decreasing period from 1843.to 1950,and an oscillating gentle decreasing from 1950 to 2.2.,with the latter period also showing increasing more extreme floods.A Mann-Kendall test analysis suggests that the latter period can be further split into two distinct sub-periods:an oscillating gentle decreasing period from 1950 to 2.00,and a clear recent increasing period from 2.00 to *** further predict that climate change will cause an ongoing remarkable increase in future flooding risk and an∼44.4 billion US dollars loss of floods in the YRB in 2.00.

关键词： Flooding risk Risk management Climate change Flood discharge Extreme precipitation

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地理大数据揭示中国主要城市建成环境物质存量的空间格局

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Engineering 2024年第3期34卷 143-153页

作者： Zhou Huang Yi bao Ruichang Mao Han Wang Ganmin Yin Lin Wan Houji Qi Qiaoxuan Li Hongzhao Tang Qiance Liu Linna Li Bailang Yu Qinghua Guo Yu Liu Huadong Guo Gang Liu institute of Remote Sensing and geographical Information Systems School of Earth and Space SciencesPeking UniversityBeijing 100871China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China SDU Life Cycle Engineering Department of Green TechnologyUniversity of Southern DenmarkOdense 5230Denmark department of Construction Management School of Civil EngineeringTsinghua UniversityBeijing 100084China School of Computer Science China University of GeosciencesWuhan 430074China School of geographical sciences East China Normal UniversityShanghai 200062China Land Satellite Remote Sensing Application Center Ministry of Natural ResourcesBeijing 100048China institute of geographic {2. and {3. resources Research Chinese Academy of SciencesBeijing 100101China department of geography California State UniversityLong BeachCA 90840USA Aerospace Information Research institute Chinese Academy of SciencesBeijing 100094China College of Urban and Environmental sciences Peking UniversityBeijing 100871China

The patterns of material accumulation in buildings and infrastructure accompanied by rapid urbanization offer an important,yet hitherto largely missing stock perspective for facilitating urban system engineering and informing urban resources,waste,and climate ***,our existing knowledge on the patterns of built environment stocks across and particularly within cities is limited,largely owing to the lack of sufficient high spatial resolution *** study leveraged multi-source big geodata,machine learning,and bottom-up stock accounting to characterize the built environment stocks of 50 cities in china at 500 m fine-grained *** per capita built environment stock of many cities({2. tonnes per capita on average)is close to that in western cities,despite considerable disparities across cities owing to their varying socioeconomic,geomorphology,and urban form *** is mainly owing to the construction boom and the building and infrastructure-driven economy of china in the past ***’s urban expansion tends to be more“vertical”(with high-rise buildings)than“horizontal”(with expanded road networks).It trades skylines for space,and reflects a concentration-dispersion-concentration pathway for spatialized built environment stocks development within cities in *** results shed light on future urbanization in developing cities,inform spatial planning,and support circular and low-carbon transitions in cities.

关键词： Urban system engineering Built environment stock Spatial pattern Urban sustainability Big geodata

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中国信息服务业时空格局演化及影响因素分析

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地理与地理信息科学 2024年第1期40卷 73-80页

作者：孙勇张思慧王天张佩广州大学公共管理学院广东广州510006 华南农业大学经济管理学院广东广州510642 中国科学院科技战略咨询研究院北京100190 中国科学院地理科学与资源研究所北京100101

数字经济是继农业经济、工业经济之后的主要经济形态,信息服务业是数字经济的关键部门。该文基于城市信息服务业企业工商注册数据,运用标准差椭圆和空间计量模型研究2.00—2.19年我国信息服务业时空格局及影响因素。结果发现:①研究期... 详细信息

数字经济是继农业经济、工业经济之后的主要经济形态,信息服务业是数字经济的关键部门。该文基于城市信息服务业企业工商注册数据,运用标准差椭圆和空间计量模型研究2.00—2.19年我国信息服务业时空格局及影响因素。结果发现:①研究期内我国信息服务业新创企业数呈“增加—减少—增加趋势”,主要集聚于城市群与省会城市,中心外围差异显著,且呈现明显的东高西低格局;②长三角城市群的信息服务业发展规模最大,珠三角城市群活力领先,京津冀城市群的规模和活力均呈下滑趋势,信息服务业整体呈向西南移动趋势;③创新水平、金融资本、人力资本、信息基础设施、人口规模与经济规模对信息服务业发展有显著的正向影响,且多具有显著的空间溢出效应与空间异质性,在东部地区作用最显著,而交通基础设施与产业结构对其影响并不稳健。研究结论能为数字经济背景下信息服务业政策制定提供启示。

关键词：数字经济信息服务业产业集聚时空格局影响机制

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Intercomparison of two trapezoid-based soil moisture downscaling methods using three scaling factors

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International Journal of Digital Earth 2019年第4期12卷 485-499页

作者： Jing tian Xiangzheng Deng Hongbo Su Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographical Sciences and Natural Resources Research(IGSNRR)Chinese Academy of Sciences(CAS)BeijingPeople’s Republic of China Center for chinese Agricultural Policy Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China department of Civil Environmental and Geomatics EngineeringFlorida Atlantic UniversityBoca RatonFLUSA

This paper compared two soil moisture downscaling methods using three scaling *** 3.soil moisture product of advanced microwave scanning radiometer for EOS(AMSR-E)is downscaled from 2. to 1 *** downscaled results are compared with the soil moisture observations from polarimetric scanning radiometer(PSR)microwave radiometer and field *** results show that(1)the scaling factor of normalized soil thermal inertia(NSTIs)and vegetation temperature condition index(VTCI)are better than soil evaporative efficiency in reflecting soil moisture;(2.for method 1,NSTIS is the best in the downscaling of soil *** method 2.VTCI is the best;(3.no significant differences of the correlation coefficients(R2.and the biases were found between the two methods for the same scaling ***,method 2.shows a better potential than method 1 in the time-series applications of the downscaling of soil moisture;(4)compared with the relationship between the area-averaged soil moisture of AMSR-E and that of PSR,R2.of the 6 sets of the downscaled soil moisture almost do not decrease,which suggests the validity of the downscaling of soil moisture with the two downscaling methods using the three scaling factors.

关键词： Soil moisture downscaling trapezoid-based method scaling factor

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Taxonomy,phylogeny and evolution of freshwater Hypocreomycetidae(Sordariomycetes)

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Fungal Diversity 2023年第4期121卷 1-94页

作者： Dan‑Feng bao Kevin D.Hyde Sajeewa S.N.Maharachchikumbura Rekhani H.Perera Vinodhini Thiyagaraja Sinang Hongsanan Dhanushka N.Wanasinghe Hong‑Wei Shen Xing‑Guo tian Li‑Quan Yang Sarunya Nalumpang Zong‑Long Luo College of Agriculture and Biological Science Dali UniversityDali 671003YunnanPeople’s Republic of China Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China World Agroforestry Centre East and Central AsiaKunming 650201YunnanPeople’s Republic of China Innovative institute for Plant Health Zhongkai University of Agriculture and EngineeringHaizhu DistrictGuangzhou 510225GuangdongPeople’s Republic of China School of Life Science and Technology University of Electronic Science and Technology of ChinaChengdu 611731SichuanPeople’s Republic of China Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouPeople’s Republic of China College of Life sciences and Oceanography Shenzhen Key Laboratory of Microbial Genetic EngineeringShenzhen UniversityShenzhen 518060China Research Center of Microbial Diversity and Sustainable Utilization Faculty of SciencesChiang Mai UniversityChiang Mai 50200Thailand Honghe Center for Mountain Futures Kunming Institute of BotanyChinese Academy of SciencesHonghe 654400YunnanPeople’s Republic of China Center for Yunnan Plateau Biological resources Protection and Utilization Yunnan Engineering Research Center of Fruit WineCollege of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanPeople’s Republic of China School of Food and Pharmaceutical Engineering Guizhou Institute of TechnologyGuiyang 550003Gui ZhouPeople’s Republic of China

Hypocreomycetidae is a highly diverse group with species from various habitats. This subclass has been reported as pathogenic,endophytic, parasitic, saprobic, fungicolous, lichenicolous, algicolous, coprophilous and insect fungi from aquatic andterrestrial habitats. In this study, we focused on freshwater fungi of Hypocreomycetidae which resulted 41 fresh collectionsfrom china and Thailand. Based on morphological and phylogenetic analyses, we identified 2. species that belong to twoorders (Hypocreales and Microascales) and six families (Bionectriaceae, Halosphaeriaceae, Microascaceae, Nectriaceae,Sarocladiaceae and Stachybotryaceae). Ten new species are introduced and 13.new habitats and {2. records arereported. Mariannaea superimposita, Stachybotrys chartarum and S. chlorohalonatus are recollected from freshwater habitatsin china. Based on phylogenetic analysis of combined LSU, ITS, SSU, rpb2.and tef1-α sequences data, Emericellopsisis transferred to Hypocreales genera incertae sedis;Pseudoacremonium is transferred to Bionectriaceae;Sedecimiella isplaced in Nectriaceae;Nautosphaeria and Tubakiella are excluded from Halosphaeriaceae and placed in Microascalesgenera incertae sedis;and Faurelina is excluded from Hypocreomycetidae. Varicosporella is placed under Atractium as asynonym of Atractium. In addition, phylogenetic analysis and divergence time estimates showed that Ascocodina, Campylospora,Cornuvesica and Xenodactylariaceae form distinct lineages in Hypocreomycetidae and they evolved in the family/order time frame. Hence, a new order (Xenodactylariales) and three new families (Ascocodinaceae, Campylosporaceae andCornuvesicaceae) are introduced based on phylogenetic analysis, divergence time estimations and morphological *** character state analysis is performed for different habitats of Hypocreomycetidae including freshwater, marineand terrestrial taxa. The result indicates that marine and freshwater fungi evolved independently from terr

关键词： Ancestral character analysis Divergence time estimates Molecular clock analysis Morphology Phylogeny Freshwater fungi

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Critical role of multidimensional biodiversity in contributing to ecosystem sustainability under global change

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geography and Sustainability 2023年第3期4卷 232-243页

作者： Ruiyang Zhang Dashuan tian Jinsong Wang Shuli Niu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China department of Environment and resources University of Chinese Academy of SciencesBeijing 100049China

The 2.st century has seen an acceleration of global change,including climate change,elevated carbon dioxide,nitrogen deposition,and land-use intensification,which poses a significant threat to ecosystem ***-ertheless,studies on the relationship between biodiversity and ecosystem functioning(BEF)have consistently demonstrated that biodiversity enhances ecosystem functioning and its stability,even in variable environmental *** findings potentially indicate the critical role of biodiversity in promoting sustainable provi-sioning of ecosystem functioning under global *** paper provides a comprehensive review of current BEF research and the response of BEF to multiple global change *** demonstrate that(1)assessing the effects of biodiversity on ecosystem functioning requires consideration of multiple dimensions of diversity,such as diversity across multiple trophic levels(plants,animals,and microbes),multiple facets(taxonomy,functional traits,and phylogeny),and multiple spatial scales(local,regional,and landscape scales).(2.The interaction of multiple global change factors may lead to a greater reduction in biodiversity and ecosystem functioning than a single global change factor.(3.Multidimensional biodiversity regulates the response of ecosystem functioning to global change factors,indicating that high levels of multidimensional biodiversity can mitigate the negative impacts of global change on ecosystem ***,we emphasize that recognizing the importance of multidimensional biodiversity is critical for sustaining ecosystem ***,prioritizing conserva-tion efforts to maintain and enhance all dimensions of biodiversity is essential to address the challenges of future global change.

关键词： Biodiversity Ecosystem functioning Global change Ecosystem sustainability

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Different responses of soil respiration and its components to nitrogen and phosphorus addition in a subtropical secondary forest

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Forest Ecosystems 2021年第3期8卷 491-503页

作者： Junjun Zhang Yong Li Jinsong Wang Weinan Chen Dashuan tian Shuli Niu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China beijing Key Laboratory of Wetland Services and Restoration Institute of Wetland ResearchChinese Academy of ForestryBeijing 100091China department of resources and Environment University of Chinese Academy of SciencesBeijing 100049China

Background:Nitrogen(N)and phosphorus(P)deposition have largely affected soil respiration(Rs)in forest ***,few studies have explored how N and P individually or in combination to influence Rs and its components(autotrophic respiration,Ra;heterotrophic respiration,Rh),especially in highly P-limited subtropical *** address this question,we conducted a field manipulation experiment with N and/or P addition in a 50-year-old subtropical secondary ***:We found that N addition on average reduced Rs,Ra,and Rh by 15.2.,15%,and 11.7%,respectively during 2.year field study.P addition had an inconsistent effect on Ra,with Ra increasing by 50.5%in the first year but reducing by 2..6%in the second ***,P addition on average decreased Rh by 8.9%–3..9%and Rs by 6.7%–15.6%across 2.*** contrast,N and P co-addition on average increased Rs,Ra,and Rh by 1.9%,7.9%,and 2.1%during the experimental *** Rs and Rh were significantly correlated with soil temperature,their temperature sensitivities were not significantly changed by *** was predominantly regulated by soil nitrogen availability(NH4+and NO3.),soil dissolved organic carbon(DOC),and enzyme activities,while the variation in Rh was mainly attributable to changes in soil microbial community composition and soilβ-D-Cellubiosidase(CB)andβ-Xylosidase(XYL)***:Our findings highlight the contrasting responses of Rs and its components to N or P addition against N and P co-addition,which should be differentially considered in biogeochemical models in order to improve prediction of forest carbon dynamics in the context of N and P enrichment in terrestrial ecosystems.

关键词： Nitrogen deposition Phosphorus enrichment Heterotrophic respiration Autotrophic respiration Enzyme activities Microbial community composition

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